Imperial College London


Faculty of MedicineSchool of Public Health

Lecturer in Population Biology of Infectious Diseases



+44 (0)20 7594 1933e.volz Website




UG10Norfolk PlaceSt Mary's Campus





I study the interaction of epidemiological dynamics and evolution of pathogens. The aim of this work is to improve surveillance of infectious diseases using molecular data. I also study the role of social and sexual networks in mediating the spread of infectious diseases. 

I have a substantive focus on HIV/AIDS. Recent work has focused on the development of better methods for estimating HIV incidence, transmission rates, and behavioral heterogeneity of populations at risk of HIV.

I have graduate training in sociology and mathematics (Cornell University) and postdoctoral training in HIV research (University of California- San Diego). I recently completed a NIH career development fellowship focused on the development of methods for molecular epidemiological surveillance of HIV (University of Michigan- Ann Arbor). 

Selected Publications

Journal Articles

Volz EM, Frost SDW, 2013, Inferring the Source of Transmission with Phylogenetic Data, Plos Computational Biology, Vol:9, ISSN:1553-7358

Volz EM, Ionides E, Romero-Severson EO, et al., 2013, HIV-1 Transmission during Early Infection in Men Who Have Sex with Men: A Phylodynamic Analysis, Plos Medicine, Vol:10, ISSN:1549-1676

Volz EM, Koelle K, Bedford T, 2013, Viral phylodynamics., Plos Comput Biol, Vol:9

Volz EM, 2012, Complex population dynamics and the coalescent under neutrality., Genetics, Vol:190, Pages:187-201

Volz EM, Koopman JS, Ward MJ, et al., 2012, Simple epidemiological dynamics explain phylogenetic clustering of HIV from patients with recent infection., Plos Comput Biol, Vol:8

Volz EM, Kosakovsky Pond SL, Ward MJ, et al., 2009, Phylodynamics of infectious disease epidemics., Genetics, Vol:183, Pages:1421-1430

Volz E, 2008, SIR dynamics in random networks with heterogeneous connectivity., J Math Biol, Vol:56, Pages:293-310

Volz E, Meyers LA, 2007, Susceptible-infected-recovered epidemics in dynamic contact networks., Proceedings of the Royal Society B: Biological Sciences, Vol:274, ISSN:0962-8452, Pages:2925-2933

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